Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "202"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 202 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 34 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 202, Node N18:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460017 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.563349 0.921430 1.198406 -1.148349 0.388934 -0.524280 -0.710032 35.733919 0.5713 0.5630 0.3390 nan nan
2460016 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.573757 0.885028 1.130202 -1.337504 0.348191 -0.006004 -1.252890 50.735947 0.5787 0.5722 0.3423 nan nan
2460015 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.704381 0.862812 1.213148 -1.322030 0.710248 -0.253058 -1.421455 48.471310 0.5884 0.5801 0.3407 nan nan
2460014 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.383107 1.416985 0.966202 -1.207021 -0.029326 0.325884 -0.831401 49.659528 0.5635 0.5526 0.3448 nan nan
2460013 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.573961 0.855730 1.231481 -1.268718 0.757013 0.297695 -1.507303 59.735152 0.5817 0.5809 0.3468 nan nan
2460012 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.385900 0.654862 1.069172 -1.382528 0.715915 0.312332 -1.776351 71.872089 0.5834 0.5840 0.3403 nan nan
2460011 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.650522 0.552024 1.654019 -1.667344 2.431098 0.728950 -1.011438 60.822202 0.6091 0.6085 0.3358 nan nan
2460010 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.943931 0.915634 1.865845 -1.354845 1.355928 -0.189916 -1.489862 45.409473 0.6217 0.6247 0.3390 nan nan
2460009 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.662753 0.204979 1.610500 -1.481321 1.241520 0.104786 -1.791951 47.038473 0.6232 0.6288 0.3445 nan nan
2460008 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.905402 0.797408 1.903557 -1.640638 1.032538 -0.373939 0.505734 12.568642 0.6573 0.6678 0.3125 nan nan
2460007 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.538893 2.784483 1.353361 -1.343219 0.484591 -0.234650 -1.470049 24.629612 0.6276 0.6235 0.3261 nan nan
2459999 digital_ok 0.00% 0.08% 0.17% 0.00% - - nan nan nan nan nan nan nan nan 0.5652 0.5570 0.3255 nan nan
2459998 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.705331 2.321304 1.269390 -1.148868 0.169845 0.276522 -1.381878 30.214959 0.6061 0.6004 0.3680 nan nan
2459997 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.800932 2.485666 1.535402 -1.091795 0.911291 -0.350981 -1.934731 41.444822 0.6145 0.6110 0.3733 nan nan
2459996 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.893802 2.415787 1.457181 -1.112706 1.089801 -0.815684 -0.932053 22.876606 0.6282 0.6234 0.3806 nan nan
2459995 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.883978 2.516088 1.582207 -1.282168 1.079400 0.606583 -0.979885 23.938983 0.6203 0.6161 0.3712 nan nan
2459994 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.686631 3.347646 1.517296 -1.276174 1.047824 -0.504910 -0.536657 21.352535 0.6150 0.6080 0.3679 nan nan
2459993 digital_ok 100.00% 0.00% 0.00% 0.00% - - 1.075853 3.913719 1.778259 -1.179625 1.529713 -0.147077 -0.574078 19.250037 0.5950 0.5998 0.3841 nan nan
2459991 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.997024 4.073281 1.736309 -1.235881 1.241864 -0.496051 -0.337793 21.123720 0.6223 0.6037 0.3799 nan nan
2459990 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.838249 3.762626 1.742601 -1.198151 1.004005 -0.510469 -0.560318 22.314874 0.6205 0.6034 0.3763 nan nan
2459989 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.691800 3.892376 1.765088 -1.017243 0.640352 -0.435682 -0.236376 16.121469 0.6110 0.6007 0.3758 nan nan
2459988 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.949201 4.451831 1.765235 -1.219987 0.909288 -0.644057 -0.365404 17.902370 0.6163 0.6071 0.3677 nan nan
2459987 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.475552 3.454579 1.523143 -1.289557 0.287472 -0.341958 -0.655326 34.793735 0.6233 0.6116 0.3652 nan nan
2459986 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.966976 4.132432 1.687391 -1.295110 1.028421 -0.688826 0.633045 13.163940 0.6391 0.6358 0.3320 nan nan
2459985 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.599900 3.822533 1.407868 -1.298148 0.693483 -0.793299 -0.769955 39.653522 0.6244 0.6124 0.3741 nan nan
2459984 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.392458 3.199609 1.447020 -1.155738 1.124725 -0.526351 -0.686512 21.125962 0.6390 0.6326 0.3498 nan nan
2459983 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.626248 2.232759 1.591622 -1.202895 1.090914 -0.560431 -0.286083 19.509643 0.6468 0.6545 0.3155 nan nan
2459982 digital_ok 0.00% 0.00% 0.00% 0.00% - - -0.402392 1.737633 0.870737 -1.103858 -0.797831 -0.417027 -0.373859 1.252640 0.6913 0.6822 0.2885 nan nan
2459981 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.637740 2.969834 1.917545 -1.223252 1.538911 0.439324 -0.625353 25.482117 0.6243 0.6143 0.3713 nan nan
2459980 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.252883 3.062687 1.371384 -1.084004 0.555619 -1.023715 0.709655 4.766080 0.6605 0.6489 0.3070 nan nan
2459979 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.560632 3.450426 1.475943 -1.042069 0.657754 -0.548040 -0.814350 18.965356 0.6161 0.6005 0.3742 nan nan
2459978 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.600496 3.760381 1.720459 -1.214272 1.009146 -0.635011 -0.005985 25.562019 0.6162 0.6000 0.3802 nan nan
2459977 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.785450 3.112110 1.415305 -1.091165 1.367553 -0.838464 -1.325849 28.791282 0.5815 0.5683 0.3383 nan nan
2459976 digital_ok 100.00% 0.00% 0.00% 0.00% - - 0.728509 3.345002 1.590641 -1.240456 1.059901 -0.185631 -0.495008 20.406174 0.6235 0.6076 0.3703 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 202: 2460017

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 35.733919 0.921430 0.563349 -1.148349 1.198406 -0.524280 0.388934 35.733919 -0.710032

Antenna 202: 2460016

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 50.735947 0.885028 0.573757 -1.337504 1.130202 -0.006004 0.348191 50.735947 -1.252890

Antenna 202: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 48.471310 0.862812 0.704381 -1.322030 1.213148 -0.253058 0.710248 48.471310 -1.421455

Antenna 202: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 49.659528 0.383107 1.416985 0.966202 -1.207021 -0.029326 0.325884 -0.831401 49.659528

Antenna 202: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 59.735152 0.573961 0.855730 1.231481 -1.268718 0.757013 0.297695 -1.507303 59.735152

Antenna 202: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 71.872089 0.385900 0.654862 1.069172 -1.382528 0.715915 0.312332 -1.776351 71.872089

Antenna 202: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 60.822202 0.650522 0.552024 1.654019 -1.667344 2.431098 0.728950 -1.011438 60.822202

Antenna 202: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 45.409473 0.943931 0.915634 1.865845 -1.354845 1.355928 -0.189916 -1.489862 45.409473

Antenna 202: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 47.038473 0.662753 0.204979 1.610500 -1.481321 1.241520 0.104786 -1.791951 47.038473

Antenna 202: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 12.568642 0.797408 0.905402 -1.640638 1.903557 -0.373939 1.032538 12.568642 0.505734

Antenna 202: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 24.629612 0.538893 2.784483 1.353361 -1.343219 0.484591 -0.234650 -1.470049 24.629612

Antenna 202: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 202: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 30.214959 0.705331 2.321304 1.269390 -1.148868 0.169845 0.276522 -1.381878 30.214959

Antenna 202: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 41.444822 0.800932 2.485666 1.535402 -1.091795 0.911291 -0.350981 -1.934731 41.444822

Antenna 202: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 22.876606 0.893802 2.415787 1.457181 -1.112706 1.089801 -0.815684 -0.932053 22.876606

Antenna 202: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 23.938983 0.883978 2.516088 1.582207 -1.282168 1.079400 0.606583 -0.979885 23.938983

Antenna 202: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 21.352535 0.686631 3.347646 1.517296 -1.276174 1.047824 -0.504910 -0.536657 21.352535

Antenna 202: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 19.250037 1.075853 3.913719 1.778259 -1.179625 1.529713 -0.147077 -0.574078 19.250037

Antenna 202: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 21.123720 0.997024 4.073281 1.736309 -1.235881 1.241864 -0.496051 -0.337793 21.123720

Antenna 202: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 22.314874 3.762626 0.838249 -1.198151 1.742601 -0.510469 1.004005 22.314874 -0.560318

Antenna 202: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 16.121469 3.892376 0.691800 -1.017243 1.765088 -0.435682 0.640352 16.121469 -0.236376

Antenna 202: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 17.902370 4.451831 0.949201 -1.219987 1.765235 -0.644057 0.909288 17.902370 -0.365404

Antenna 202: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 34.793735 0.475552 3.454579 1.523143 -1.289557 0.287472 -0.341958 -0.655326 34.793735

Antenna 202: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 13.163940 4.132432 0.966976 -1.295110 1.687391 -0.688826 1.028421 13.163940 0.633045

Antenna 202: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 39.653522 3.822533 0.599900 -1.298148 1.407868 -0.793299 0.693483 39.653522 -0.769955

Antenna 202: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 21.125962 0.392458 3.199609 1.447020 -1.155738 1.124725 -0.526351 -0.686512 21.125962

Antenna 202: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 19.509643 0.626248 2.232759 1.591622 -1.202895 1.090914 -0.560431 -0.286083 19.509643

Antenna 202: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Shape 1.737633 -0.402392 1.737633 0.870737 -1.103858 -0.797831 -0.417027 -0.373859 1.252640

Antenna 202: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 25.482117 2.969834 0.637740 -1.223252 1.917545 0.439324 1.538911 25.482117 -0.625353

Antenna 202: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 4.766080 3.062687 0.252883 -1.084004 1.371384 -1.023715 0.555619 4.766080 0.709655

Antenna 202: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 18.965356 0.560632 3.450426 1.475943 -1.042069 0.657754 -0.548040 -0.814350 18.965356

Antenna 202: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 25.562019 3.760381 0.600496 -1.214272 1.720459 -0.635011 1.009146 25.562019 -0.005985

Antenna 202: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 28.791282 0.785450 3.112110 1.415305 -1.091165 1.367553 -0.838464 -1.325849 28.791282

Antenna 202: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 20.406174 3.345002 0.728509 -1.240456 1.590641 -0.185631 1.059901 20.406174 -0.495008
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